Cool, thanks! I read this a while ago, rereading again. On Tue, Jan 15, 2019 at 3:28 AM Sebastian Hellmann < hellm...@informatik.uni-leipzig.de> wrote:
> Hi all, > > let me send you a paper from 2013, which might either help directly or at > least to get some ideas... > > A lemon lexicon for DBpedia, Christina Unger, John McCrae, Sebastian > Walter, Sara Winter, Philipp Cimiano, 2013, Proceedings of 1st > International Workshop on NLP and DBpedia, co-located with the 12th > International Semantic Web Conference (ISWC 2013), October 21-25, Sydney, > Australia > > https://github.com/ag-sc/lemon.dbpedia > > https://pdfs.semanticscholar.org/638e/b4959db792c94411339439013eef536fb052.pdf > > Since the mappings from DBpedia to Wikidata properties are here: > http://mappings.dbpedia.org/index.php?title=Special:AllPages&namespace=202 > e.g. http://mappings.dbpedia.org/index.php/OntologyProperty:BirthDate > > You could directly use the DBpedia-lemon lexicalisation for Wikidata. > > The mappings can be downloaded with > > git clone https://github.com/dbpedia/extraction-framework ; cd core ; > ../run download-mappings > > > All the best, > > Sebastian > > > > > On 14.01.19 18:34, Denny Vrandečić wrote: > > Felipe, > > thanks for the kind words. > > There are a few research projects that use Wikidata to generate parts of > Wikipedia articles - see for example https://arxiv.org/abs/1702.06235 which > is almost as good as human results and beats templates by far, but only for > the first sentence of biographies. > > Lucie Kaffee has also quite a body of research on that topic, and has > worked very succesfully and tightly with some Wikipedia communities on > these questions. Here's her bibliography: > https://scholar.google.com/citations?user=xiuGTq0AAAAJ&hl=de > > Another project of hers is currently under review for a grant: > https://meta.wikimedia.org/wiki/Grants:Project/Scribe:_Supporting_Under-resourced_Wikipedia_Editors_in_Creating_New_Articles > - I would suggest to take a look and if you are so inclined to express > support. It is totally worth it! > > My opinion is that these projects are great for starters, and should be > done (low-hanging fruits and all that), but won't get much further at least > for a while, mostly because Wikidata rarely offers more than a skeleton of > content. A decent Wikipedia article will include much, much more content > than what is represented in Wikidata. And if you only use that for input, > you're limiting yourself too much. > > Here's a different approach based on summarization over input sources: > https://www.wired.com/story/using-artificial-intelligence-to-fix-wikipedias-gender-problem/ > - > this has a more promising approach for the short- to mid-term. > > I still maintain that the Abstract Wikipedia approach has certain > advantages over both learned approaches, and is most aligned with Lucie's > work. The machine learned approaches always fall short on the dimension of > editability, due to the black-boxness of their solutions. > > Also, furthermore, agree to Jeblad. > > Remains the question, why is there not more discussion? Maybe because > there is nothing substantial to discuss yet :) The two white papers are > rather high level and the idea is not concrete enough yet, so that I > wouldn't expect too much discussion yet going on on-wiki. That was similar > to Wikidata - the number who discussed Wikidata at this level of maturity > was tiny, it increased considerably once an actual design plan was > suggested, but still remained small - and then exploded once the system was > deployed. I would be surprised and delighted if we managed to avoid this > pattern this time, but I can't do more than publicly present the idea, > announce plans once they are there, and hope for a timely discussion :) > > Cheers, > Denny > > > On Mon, Jan 14, 2019 at 2:54 AM John Erling Blad <jeb...@gmail.com> wrote: > >> An additional note; what Wikipedia urgently needs is a way to create >> and reuse canned text (aka "templates"), and a way to adapt that text >> to data from Wikidata. That is mostly just inflection rules, but in >> some cases it involves grammar rules. To create larger pieces of text >> is much harder, especially if the text is supposed to be readable. >> Jumbling sentences together as is commonly done by various botscripts >> does not work very well, or rather, it does not work at all. >> >> On Mon, Jan 14, 2019 at 11:44 AM John Erling Blad <jeb...@gmail.com> >> wrote: >> > >> > Using an abstract language as an basis for translations have been >> > tried before, and is almost as hard as translating between two common >> > languages. >> > >> > There are two really hard problems, it is the implied references and >> > the cultural context. An artificial language can get rid of the >> > implied references, but it tend to create very weird and unnatural >> > expressions. If the cultural context is removed, then it can be >> > extremely hard to put it back in, and without any cultural context it >> > can be hard to explain anything. >> > >> > But yes, you can make an abstract language, but it won't give you any >> > high quality prose. >> > >> > On Mon, Jan 14, 2019 at 8:09 AM Felipe Schenone <scheno...@gmail.com> >> wrote: >> > > >> > > This is quite an awesome idea. But thinking about it, wouldn't it be >> possible to use structured data in wikidata to generate articles? Can't we >> skip the need of learning an abstract language by using wikidata? >> > > >> > > Also, is there discussion about this idea anywhere in the Wikimedia >> wikis? I haven't found any... >> > > >> > > On Sat, Sep 29, 2018 at 3:44 PM Pine W <wiki.p...@gmail.com> wrote: >> > >> >> > >> Forwarding because this (ambitious!) proposal may be of interest to >> people >> > >> on other lists. I'm not endorsing the proposal at this time, but I'm >> > >> curious about it. >> > >> >> > >> Pine >> > >> ( https://meta.wikimedia.org/wiki/User:Pine ) >> > >> >> > >> >> > >> ---------- Forwarded message --------- >> > >> From: Denny Vrandečić <vrande...@gmail.com> >> > >> Date: Sat, Sep 29, 2018 at 6:32 PM >> > >> Subject: [Wikimedia-l] Wikipedia in an abstract language >> > >> To: Wikimedia Mailing List <wikimedi...@lists.wikimedia.org> >> > >> >> > >> >> > >> Semantic Web languages allow to express ontologies and knowledge >> bases in a >> > >> way meant to be particularly amenable to the Web. Ontologies >> formalize the >> > >> shared understanding of a domain. But the most expressive and >> widespread >> > >> languages that we know of are human natural languages, and the >> largest >> > >> knowledge base we have is the wealth of text written in human >> languages. >> > >> >> > >> We looks for a path to bridge the gap between knowledge >> representation >> > >> languages such as OWL and human natural languages such as English. We >> > >> propose a project to simultaneously expose that gap, allow to >> collaborate >> > >> on closing it, make progress widely visible, and is highly >> attractive and >> > >> valuable in its own right: a Wikipedia written in an abstract >> language to >> > >> be rendered into any natural language on request. This would make >> current >> > >> Wikipedia editors about 100x more productive, and increase the >> content of >> > >> Wikipedia by 10x. For billions of users this will unlock knowledge >> they >> > >> currently do not have access to. >> > >> >> > >> My first talk on this topic will be on October 10, 2018, >> 16:45-17:00, at >> > >> the Asilomar in Monterey, CA during the Blue Sky track of ISWC. My >> second, >> > >> longer talk on the topic will be at the DL workshop in Tempe, AZ, >> October >> > >> 27-29. Comments are very welcome as I prepare the slides and the >> talk. >> > >> >> > >> Link to the paper: http://simia.net/download/abstractwikipedia.pdf >> > >> >> > >> Cheers, >> > >> Denny >> > >> _______________________________________________ >> > >> Wikimedia-l mailing list, guidelines at: >> > >> https://meta.wikimedia.org/wiki/Mailing_lists/Guidelines and >> > >> https://meta.wikimedia.org/wiki/Wikimedia-l >> > >> New messages to: wikimedi...@lists.wikimedia.org >> > >> Unsubscribe: >> https://lists.wikimedia.org/mailman/listinfo/wikimedia-l, >> > >> <mailto:wikimedia-l-requ...@lists.wikimedia.org?subject=unsubscribe> >> > >> _______________________________________________ >> > >> Wikipedia-l mailing list >> > >> Wikipedia-l@lists.wikimedia.org >> > >> https://lists.wikimedia.org/mailman/listinfo/wikipedia-l >> > > >> > > _______________________________________________ >> > > Wikidata mailing list >> > > wikid...@lists.wikimedia.org >> > > https://lists.wikimedia.org/mailman/listinfo/wikidata >> >> _______________________________________________ >> Wikidata mailing list >> wikid...@lists.wikimedia.org >> https://lists.wikimedia.org/mailman/listinfo/wikidata >> > > _______________________________________________ > Wikidata mailing > listWikidata@lists.wikimedia.orghttps://lists.wikimedia.org/mailman/listinfo/wikidata > > -- > All the best, > Sebastian Hellmann > > Director of Knowledge Integration and Linked Data Technologies (KILT) > Competence Center > at the Institute for Applied Informatics (InfAI) at Leipzig University > Executive Director of the DBpedia Association > Projects: http://dbpedia.org, http://nlp2rdf.org, > http://linguistics.okfn.org, https://www.w3.org/community/ld4lt > <http://www.w3.org/community/ld4lt> > Homepage: http://aksw.org/SebastianHellmann > Research Group: http://aksw.org > _______________________________________________ Wikipedia-l mailing list Wikipedia-l@lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/wikipedia-l
